code: def churn():
      return ray.put(np.zeros(1024 * 1024, dtype=np.uint8))
  
file_path: ray/release/long_running_tests/workloads/many_tasks_serialized_ids.py
imports: import time
  import random
  import numpy
  import ray
  from ray.cluster_utils import Cluster
  from ray._private.test_utils import safe_write_to_results_json
label_desc: Use image node_id 2 for calling a global function with example usage: churn() and returns: ray